3D large-scale numerical model of open-pit lake slope stability—case study of Lake Most - Ineris - Institut national de l'environnement industriel et des risques Accéder directement au contenu
Article Dans Une Revue Bulletin of Engineering Geology and the Environment Année : 2022

3D large-scale numerical model of open-pit lake slope stability—case study of Lake Most

Résumé

Almost all post-exploitation open pit mines in the world are shaped as a final water reservoir. One of the main hazards is the slope stability of lake banks. To develop a reliability methodology for assessing the long-term stability of flooded open-pit lake, a back analysis was conducted using 2D and 3D large-scale numerical models of Lake Most, which is one of the largest mining lakes in Europe (Czech Republic). The large-scale numerical model was built, based on the site observations, large scale LiDAR data, in situ characterisation tests, and statistical analysis of geotechnical data, on DTMs defining the complex geology of the site and on numerous piezometric levels to build the water table. Local and global safety factor (SF) were calculated using the strength reduction method. The results highlighted the reliability of the methodology to combine the geometric model with the geological model to create a large-scale numerical model, to identify local and potentially instable zones, and to highlight the role of a weak contact layer. The calculation of 3D SF has shown a very good correlation between the lowest SF and the ground movement observations noted by the Czech authorities.
Fichier principal
Vignette du fichier
2022-058 post-print.pdf (2.79 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

ineris-03827675 , version 1 (08-11-2022)

Identifiants

Citer

Vincent Renaud, Marwan Al Heib, Jan Burda. 3D large-scale numerical model of open-pit lake slope stability—case study of Lake Most. Bulletin of Engineering Geology and the Environment, 2022, 81 (7), pp.282. ⟨10.1007/s10064-022-02771-3⟩. ⟨ineris-03827675⟩

Collections

INERIS
30 Consultations
36 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More